| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: teknium/OpenHermes-2.5-Mistral-7B |
| model-index: |
| - name: Paper_Imp_Data_Augmented_1 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Paper_Imp_Data_Augmented_1 |
|
|
| This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8094 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.0944 | 0.08 | 30 | 1.6167 | |
| | 1.5308 | 0.16 | 60 | 1.0254 | |
| | 0.9718 | 0.23 | 90 | 0.8645 | |
| | 1.0394 | 0.31 | 120 | 0.8575 | |
| | 0.9591 | 0.39 | 150 | 0.8520 | |
| | 0.7642 | 0.47 | 180 | 0.8452 | |
| | 0.7454 | 0.54 | 210 | 0.8407 | |
| | 0.7823 | 0.62 | 240 | 0.8461 | |
| | 0.8669 | 0.7 | 270 | 0.8369 | |
| | 0.8827 | 0.78 | 300 | 0.8305 | |
| | 0.7243 | 0.85 | 330 | 0.8267 | |
| | 0.9427 | 0.93 | 360 | 0.8180 | |
| | 0.7446 | 1.01 | 390 | 0.8181 | |
| | 0.6774 | 1.09 | 420 | 0.8248 | |
| | 0.7981 | 1.16 | 450 | 0.8191 | |
| | 0.868 | 1.24 | 480 | 0.8147 | |
| | 0.7947 | 1.32 | 510 | 0.8140 | |
| | 0.7324 | 1.4 | 540 | 0.8122 | |
| | 0.8008 | 1.47 | 570 | 0.8114 | |
| | 0.749 | 1.55 | 600 | 0.8114 | |
| | 0.8133 | 1.63 | 630 | 0.8113 | |
| | 0.7606 | 1.71 | 660 | 0.8118 | |
| | 0.7209 | 1.78 | 690 | 0.8103 | |
| | 0.7236 | 1.86 | 720 | 0.8096 | |
| | 0.6766 | 1.94 | 750 | 0.8094 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
